In this paper, a hybrid estimator is introduced by combining the mixed estimator and the Kibria-Lukman estimator for linear measurement error models in the presence of multicollinearity. The asymptotic properties of the estimators are derived, and their performance is evaluated with respect to the mean square error matrix criterion. A simulation study is conducted to compare the performance of the proposed estimators with other available estimators under different sample sizes, variances, and degrees of multicollinearity. Additionally, a real-life dataset is analyzed to illustrate the findings of the paper.
Ghapani, F. (2024). A hybrid estimator for the linear measurement error model: Computations and simulations. Journal of Statistical Modelling: Theory and Applications, 5(2), 25-38. doi: 10.22034/jsmta.2025.22055.1152
MLA
Ghapani, F. . "A hybrid estimator for the linear measurement error model: Computations and simulations", Journal of Statistical Modelling: Theory and Applications, 5, 2, 2024, 25-38. doi: 10.22034/jsmta.2025.22055.1152
HARVARD
Ghapani, F. (2024). 'A hybrid estimator for the linear measurement error model: Computations and simulations', Journal of Statistical Modelling: Theory and Applications, 5(2), pp. 25-38. doi: 10.22034/jsmta.2025.22055.1152
CHICAGO
F. Ghapani, "A hybrid estimator for the linear measurement error model: Computations and simulations," Journal of Statistical Modelling: Theory and Applications, 5 2 (2024): 25-38, doi: 10.22034/jsmta.2025.22055.1152
VANCOUVER
Ghapani, F. A hybrid estimator for the linear measurement error model: Computations and simulations. Journal of Statistical Modelling: Theory and Applications, 2024; 5(2): 25-38. doi: 10.22034/jsmta.2025.22055.1152
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